Data Solutions Architect

5 dagen geleden

Hapert, Noord-Brabant, Nederland Abacus Medicine Voltijd
About Abacus Medicine

Abacus Medicine is a global player in the parallel import industry and pharmaceutical services, driven by a purpose to improve global healthcare through better access to medicine. Our entrepreneurial mindset has led us to quickly establish ourselves as a leading company, with over 1,200 dedicated colleagues from diverse nationalities working together across various locations.

We value innovation, dedication, and care in everything we do. Our company's culture is built around these core values, which guide us in our pursuit of improvement and excellence in achieving our purpose.

Salary Range: £60,000 - £80,000 per annumAbout the Role

We are seeking an experienced Data Engineer to join our dynamic Data Engineering team. As a key member of this team, you will play a pivotal role in building scalable and robust data solutions that support our cloud data platform and downstream use cases such as BI solutions, analytics, and AI/ML models. Your responsibilities will include designing, developing, maintaining, and optimizing data pipelines that perform ETL processes from various sources, ensuring data quality and efficiency.

You will work closely with cross-functional teams and other data professionals to gather requirements and design robust data solutions, leveraging your expertise in data engineering best practices and cutting-edge technologies. Additionally, you will be responsible for staying up-to-date with emerging trends and technologies in the field, collaborating with stakeholders to merge domain expertise and find optimal solutions for each data challenge.

Our modern data tech-stack includes Azure Databricks, Azure Data Factory, Azure Data/Delta Lake, Python, PySpark, SQL, Azure DevOps, Monte Carlo, Data Observability Platform, and Git. Experience with cloud platforms, big data storage, data processing, and analytics is highly desirable. A proactive mindset, continuous learning approach, and excellent communication skills are essential for success in this role.

Key Responsibilities
  • Design, develop, maintain, and optimize data pipelines to ensure data quality and efficiency.
  • Work on projects that directly impact our data-driven initiatives, including data integration solutions, data quality, storage optimization, architecture upgrades, and more.
  • Stay up-to-date with emerging data engineering trends and technologies to further develop our modern data cloud platform.
  • Leverage monitoring tools and data observability platforms to identify and resolve issues proactively.
  • Collaborate with cross-functional teams and stakeholders to gather requirements and design robust data solutions.
  • Omitimize big data storage and data retrieval processes.
Qualifications and Skills
  • A Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Proficiency in Python programming.
  • Familiarity with source control, such as Git.
  • Basic knowledge of SQL.
  • Experience in data manipulation, data wrangling, and data cleansing techniques to ensure data quality and integrity.
  • Strong problem-solving skills with attention to detail.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
  • Proactive mindset with a continuous learning approach to keep up with evolving technologies in the data engineering field.
  • Good oral and written communication skills in English.
Advantages
  • Experience with cloud platforms, big data storage, data processing, and analytics.
  • Familiarity with Azure Data/Delta Lake for efficient storage and processing of big data.
  • Knowledge of Apache Spark and Databricks for data processing and analytics.
  • Experience with PySpark.
  • Experience with Azure Data Factory or familiarity with similar data integration and orchestration tools.
  • Understanding of CI/CD practices.

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